TELA Bio (TELA) Cash & Equivalents (2018 - 2026)
TELA Bio's Cash & Equivalents was $30.42 million in Q2 2026, down 13.0% from $34.98 million a year earlier and down 23.1% from the prior quarter.
Powered by 
Analysis
TELA Bio (TELA) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at TELA Bio came in at $50.85 million, down 3.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $52.67 million in FY2024 (+12.7%), $46.73 million in FY2023 (+11.2%), $42.02 million in FY2022 (-4.4%) and $43.93 million in FY2021 (-40.9%).
- Quarterly Cash & Equivalents has moved between $17.3 million (Q3 2024) and $65.27 million (Q2 2023) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 4.7% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2023 (growth of 135.4%); the worst was Q3 2024 (a decline of 70.3%).
- Per Business Quant data, TELA's Cash & Equivalents in the three quarters before Q2 2026 was $39.54 million (Q1 2026), $50.85 million (Q4 2025) and $29.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | TELA Bio | 65.45 Mn | -85.07 Mn | 13.94 Mn | 30.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.42 Mn |
| Mar 31, 2026 | 39.54 Mn |
| Dec 31, 2025 | 50.85 Mn |
| Sep 30, 2025 | 29.71 Mn |
| Jun 30, 2025 | 34.98 Mn |
| Mar 31, 2025 | 42.83 Mn |
| Dec 31, 2024 | 52.67 Mn |
| Sep 30, 2024 | 17.30 Mn |
| Jun 30, 2024 | 26.50 Mn |
| Mar 31, 2024 | 37.14 Mn |
| Dec 31, 2023 | 46.73 Mn |
| Sep 30, 2023 | 58.20 Mn |
| Jun 30, 2023 | 65.27 Mn |
| Mar 31, 2023 | 30.12 Mn |
| Dec 31, 2022 | 42.02 Mn |
| Sep 30, 2022 | 54.23 Mn |
| Jun 30, 2022 | 27.73 Mn |
| Mar 31, 2022 | 33.02 Mn |
| Dec 31, 2021 | 43.93 Mn |
| Sep 30, 2021 | 53.64 Mn |
API Access
TELA Bio Cash & Equivalents API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=TELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "TELA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();